Ninad Sharma

I’m a Data Engineer and Analyst with 2+ years building ETL pipelines and analytics across Germany/India markets. At Beiersdorf AG, I processed 2TB+ monthly data across 15 markets and cut reporting time by 40% using PySpark and Power BI automation.

I focus on reliable, compliant data delivery—establishing GDPR-compliant data governance and optimizing BigQuery SQL (CTEs/window functions) to achieve 35% faster queries. I’m comfortable translating business questions into structured data models that teams can trust.

Before my data engineering work, I built production-ready applications and services: optimizing MySQL queries to reduce latency by 25% for 10k daily requests, and creating Node.js microservices with 99.5% uptime. I also implemented CI/CD with GitHub Actions and Docker to cut deployment cycles by 30%.

Now I’m intentionally transitioning into Data Science, backed by my MSc at TU Hamburg (data science, statistics, and ML foundations). I enjoy using data engineering strengths—Python/SQL and cloud tooling—to set up the datasets and pipelines that make modeling and experimentation succeed.